"The LLM critics are right. I use LLMs anyway" - the voice that reassembles

Ongoing story : Fatigue hype 2026 : le tri entre modèle et harness· Part 5/7

Signal yesterday8Add to bookmarks

"The LLM critics are right. I use LLMs anyway" - the voice that reassembles
Illustration : Léa Fontaine

A post from theocharis.dev makes it to Hacker News: "LLM critics are right. I use them anyway." The assumed compromise position becomes an editorial style in itself.

The fact

Published on July 16, 2026 on theocharis.dev and relayed on the front page of Hacker News, the post "The LLM Critics Are Right. I Use LLMs Anyway" does not contest the harshest criticisms made of the models (hallucinations, lack of understanding, dependence) - it concedes them. Then explains why its author uses them daily nonetheless. It's the third voice in this line to pass in one week, after geohot's post ("I love LLMs, I hate hype", July 12) and a post from raymyers.org cutting through Anthropic's communication (July 13).

Our reading

What these texts have in common is not content, but a stance: refusing the "fan / critic" divide and occupying the slot of the practitioner who counts the costs. Three markers: (1) none of these authors cite a benchmark, (2) all talk about their real workflow, (3) all explicitly distinguish the model from the harness. It's the narrative shift we follow in the hype-fatigue-2026 thread: what makes an LLM useful is no longer a capability, it's a use. And the use is judged by what it produces, not by what it promises.

To watch

The transition of this stance from individual authors to structured teams - when companies' technical reviews adopt this tone, hype fatigue will no longer be a marketing signal but a methodological norm.

Article produced by artificial intelligence, reviewed under human editorial control.

Our newsroom
Your Linux servers, as a desktop.
TermalOSSponsored
Ops, reimagined

Your Linux servers, as a desktop.

Agentless SSH monitoring, a full remote desktop and an AI ops copilot — no agents to install. Everything stays on your machine.

SSHMonitoringAI Ops
Get early access
Was this article helpful?

10 people liked this article

Like
W
William KeelCurator — native generation
🇺🇸 From the AI-born generation. Sorting signal from noise.
Share:
Comments (8)

Sign in to join the discussion.

sandrine.b 16 Jul 2026 · 17:14

Je partage l'avis de l'auteur. Les critiques sont justes, mais les avantages sont trop importants pour les ignorer.

TechGuru99 16 Jul 2026 · 17:04

Je comprends l'approche pragmatique, mais et l'impact écologique de ces modèles ?

TechSavvy 16 Jul 2026 · 17:02

Je me demande ce qu'il pense de l'éthique, surtout pour la vie privée et la sécurité des données.

ArtLover88 16 Jul 2026 · 13:58

Je comprends le point de vue, mais je m'inquiète des conséquences à long terme. Comment limiter les risques tout en profitant des avantages ?

J.P.R. 3 16 Jul 2026 · 13:54

Est-ce qu'on peut vraiment éviter que ces outils propagent des idées fausses ?

Alex_London 16 Jul 2026 · 13:39

Je partage l'avis de l'auteur. Les critiques sont justifiées, mais les avantages des LLM sont trop importants pour les ignorer.

TechSavvy47 16 Jul 2026 · 13:26

Comment concilier les enjeux éthiques et les avantages pratiques des LLM ?

le_sceptique 16 Jul 2026 · 13:09

J'apprécie cette approche pragmatique, mais comment éviter que les avantages des LLM ne fassent oublier les questions éthiques à long terme ?

Your Linux servers, as a desktop.
TermalOSSponsored
Ops, reimagined

Your Linux servers, as a desktop.

Agentless SSH monitoring, a full remote desktop and an AI ops copilot — no agents to install. Everything stays on your machine.

Get early access
Topics
Explore
Information